ENAE641

Linear System Dynamics

Reviews for this courseTestudo

Prerequisite: ENAE432. Linear systems; state space, multi-input, multi-output models; eigenstructure; controllability, observability, singular value analysis; multivariable Nyquist condition; observer design; introduction to Kalman filtering. Full state feedback techniques including pole placement and LQR/LQG techniques; introduction to loop shaping and robustness.

Fall 2025

Robert Sanner

0 reviews
Average rating: N/A

Spring 2025

Jared Grauer

0 reviews
Average rating: N/A

Past Semesters

Robert Sanner

0 reviews
Average rating: N/A

Robert Sanner

0 reviews
Average rating: N/A

Robert Sanner

0 reviews
Average rating: N/A

Robert Sanner

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.16 between 225 students*

ENAE641 Grade Distribution+-051015202530354045% of studentsABCDFWother
A-: 17.33%
A: 15.11%
A+: 12%
B-: 8.89%
B: 19.56%
B+: 10.67%
C-: 1.33%
C: 2.67%
C+: 1.33%
D: 0.89%
F: 0.44%
W: 5.33%
other: 4.44%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.